Edvin Listo Zec

According to our database, Edvin Listo Zec authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On the effects of similarity metrics in decentralized deep learning under distributional shift.

Edvin Listo Zec, Tom Hagander, Eric Ihre-Thomason, Sarunas Girdzijauskas

CoRR, 2024

Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning.

Martin Willbo, Aleksis Pirinen, John Martinsson, Edvin Listo Zec, Olof Mogren, Mikael Nilsson

CoRR, 2024

Efficient Node Selection in Private Personalized Decentralized Learning.

Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad

Proceedings of the Northern Lights Deep Learning Conference, 2024

2023

Concept-aware clustering for decentralized deep learning under temporal shift.

Marcus Toftås, Emilie Klefbom, Edvin Listo Zec, Martin Willbo, Olof Mogren

CoRR, 2023

Grammatical gender in Swedish is predictable using recurrent neural networks.

Edvin Listo Zec, Olof Mogren

CoRR, 2023

Private Node Selection in Personalized Decentralized Learning.

Edvin Listo Zec, Johan Östman, Olof Mogren, Daniel Gillblad

CoRR, 2023

2022

Adaptive Expert Models for Personalization in Federated Learning.

Martin Isaksson, Edvin Listo Zec, Rickard Cöster, Daniel Gillblad, Sarunas Girdzijauskas

CoRR, 2022

Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration.

Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Adaptive Expert Models for Federated Learning.

Martin Isaksson, Edvin Listo Zec, Rickard Cöster, Daniel Gillblad, Sarunas Girdzijauskas

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Residual value prediction using deep learning.

Edvin Listo Zec, Olof Mogren, Ann-Charlotte Mellquist, Sarah Fallahi, Peter Algurén

Proceedings of the IEEE International Conference on Big Data, 2022

EFFGAN: Ensembles of fine-tuned federated GANs.

Ebba Ekblom, Edvin Listo Zec, Olof Mogren

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Decentralized federated learning of deep neural networks on non-iid data.

Noa Onoszko, Gustav Karlsson, Olof Mogren, Edvin Listo Zec

CoRR, 2021

Scaling Federated Learning for Fine-Tuning of Large Language Models.

Agrin Hilmkil, Sebastian Callh, Matteo Barbieri, Leon René Sütfeld, Edvin Listo Zec, Olof Mogren

Proceedings of the Natural Language Processing and Information Systems, 2021

Adversarial representation learning for synthetic replacement of private attributes.

John Martinsson, Edvin Listo Zec, Daniel Gillblad, Olof Mogren

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Federated learning using a mixture of experts.

Edvin Listo Zec, Olof Mogren, John Martinsson, Leon René Sütfeld, Daniel Gillblad

CoRR, 2020

Adversarial representation learning for private speech generation.

David Ericsson, Adam Östberg, Edvin Listo Zec, John Martinsson, Olof Mogren

CoRR, 2020

2019

Recurrent Conditional Generative Adversarial Networks for Autonomous Driving Sensor Modelling.

Henrik Arnelid, Edvin Listo Zec, Nasser Mohammadiha

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Statistical Sensor Modelling for Autonomous Driving Using Autoregressive Input-Output HMMs.

Edvin Listo Zec, Nasser Mohammadiha, Alexander Schliep

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018